使用CoralSoundExplorer软件对珊瑚礁声景进行可视化和量化
Lana Minier1, Jérémy Rouch2, Bamdad Sabbagh2
1PSL Université Paris, EPHE-UPVD-CNRS, UAR3278 CRIOBE, Moorea, French Polynesia.
PLoS computational biology
|April 10, 2025
概括
珊瑚礁面临威胁,但新的软件CoralSoundExplorer有助于监控它们的声音景观. 该工具使用机器学习快速识别这些重要海洋生态系统的变化和干扰.
科学领域:
- 海洋生物学 海洋生物学
- 声学生态学 声学生态学
- 生物声学是一种生物声学.
背景情况:
- 珊瑚礁是重要的生态系统,面临着全球变化和人类活动带来的重大威胁.
- 珊瑚礁生态系统的变化会影响它们的声学特征,因此声音景观监测至关重要.
- 在珊瑚礁中快速测量和识别声景变化仍然是一个挑战.
研究的目的:
- 介绍CoralSoundExplorer,这是一个开源软件,用于研究和监控珊瑚礁声景.
- 证明软件能够识别影响珊瑚礁的干扰.
- 提供一个用户友好的工作流程,用于分析原始声音录制到生态结果.
主要方法:
- 在CoralSoundExplorer中使用机器学习方法来分析音景数据.
- 通过使用新的量化方法,消除对传统声学指数的需求.
- 分析来自Bora-Bora三个不同的珊瑚礁地点 (不受干扰,旅游,船只) 的声音录音.
主要成果:
- CoralSoundExplorer有效地可视化了声音录音的时空分布.
- 该软件提供了新的量化方法,用于在各种时间尺度上描述声音景观.
- 证明能够识别影响珊瑚礁声景的干扰.
结论:
- CoralSoundExplorer是一个强大的工具,通过声景分析快速评估和监测珊瑚礁健康状况.
- 该软件有助于识别人类对海洋声景的影响.
- 开源可访问性促进了珊瑚礁研究和保护的更广泛采用.
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